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OpenAI: GPT-6.1 Sol

openai/gpt-6.1-sol

Vergleich

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

Modalitäten
Eingabe- / Ausgabepreis
2 $ / 10 $pro 1 Mio.
Kontext
1,1M
Veröffentlicht
29. Sept. 2026
Vergleich
AnbieterPreiseLeistungVerfügbarkeitLeistungsvergleicheAppsAktivitätFAQEntdecken

Anbieter

Verschiedene Unternehmen hosten dasselbe Modell. OpenRouter leitet Ihre Anfrage je nach gewähltem Routing-Modus an eines davon weiter — Balanced (Preis + Geschwindigkeit), Nitro (am schnellsten) oder Floor (am günstigsten).

Preise

Der durchschnittliche Preis, den Kunden tatsächlich für dieses Modell zahlen, neben den von Anbietern veröffentlichten Preisen. Durch Caching und Rabatte liegt der tatsächlich gezahlte Preis oft deutlich unter dem Listenpreis.

Leistung

Der Durchsatz gibt an, wie schnell das Modell schreibt (Token pro Sekunde – höher ist besser). Die Latenz ist die gesamte Umlaufzeit (niedriger ist besser). TTFT ist die Zeit bis zum ersten Token – also die Wartezeit, bis etwas angezeigt wird (niedriger ist besser).

Verfügbarkeit

Verfügbarkeit ist der prozentuale Anteil der letzten 3 Tage, in dem mindestens ein Anbieter auf Anfragen reagiert hat. Die Verfügbarkeit der Inferenz ist der prozentuale Anteil der Zeit, in der Inferenz erfolgreich bereitgestellt wurde. OpenRouter überwacht dies kontinuierlich und verwendet den nächstbesten Anbieter, wenn ein Anbieter einen Fehler zurückgibt.

Leistungsvergleiche

Ergebnisse standardisierter Bewertungen und eigene Ausgaben dieses Modells zu gemeinsamen Vergleichstest-Prompts. Höhere Prozentwerte sind besser – und jeder Rang zeigt, wo dieses Modell unter den anhand dieser Quelle bewerteten Modellen liegt.

Zusammenfassung der Benchmark-Ergebnisse für OpenAI: GPT-6.1 Sol (Artificial Analysis, Design Arena und Vals AI)
QuelleBenchmarkErgebnis
Artificial AnalysisGPT-6.1 Sol (Xhigh) Intelligence Index52,3
Artificial AnalysisGPT-6.1 Sol (Xhigh) HLE52.6%
Artificial AnalysisGPT-6.1 Sol (Xhigh) AA-LCR79.7%
Artificial AnalysisGPT-6.1 Sol (Xhigh) GDPval-AA52.7%
Artificial AnalysisGPT-6.1 Sol (Xhigh) CritPt31.7%
Artificial AnalysisGPT-6.1 Sol (Xhigh) SciCode55.7%
Artificial AnalysisGPT-6.1 Sol (Xhigh) Terminal-Bench 4.054.0%
Artificial AnalysisGPT-6.1 Sol (Xhigh) AA-Omniscience Accuracy61.1%
Artificial AnalysisGPT-6.1 Sol (Xhigh) AA-Omniscience Non-Hallucination Rate52.0%
Artificial AnalysisGPT-6.1 Sol (Medium) Intelligence Index46,1
Artificial AnalysisGPT-6.1 Sol (Medium) HLE49.9%
Artificial AnalysisGPT-6.1 Sol (Medium) AA-LCR83.3%
Artificial AnalysisGPT-6.1 Sol (Medium) GDPval-AA48.0%
Artificial AnalysisGPT-6.1 Sol (Medium) CritPt27.7%
Artificial AnalysisGPT-6.1 Sol (Medium) SciCode53.2%
Artificial AnalysisGPT-6.1 Sol (Medium) Terminal-Bench 4.048.0%
Artificial AnalysisGPT-6.1 Sol (Medium) AA-Omniscience Accuracy59.6%
Artificial AnalysisGPT-6.1 Sol (Medium) AA-Omniscience Non-Hallucination Rate51.9%
Artificial AnalysisGPT-6.1 Sol (Low) Intelligence Index34,5
Artificial AnalysisGPT-6.1 Sol (Low) HLE47.4%
Artificial AnalysisGPT-6.1 Sol (Low) AA-LCR84.0%
Artificial AnalysisGPT-6.1 Sol (Low) GDPval-AA41.1%
Artificial AnalysisGPT-6.1 Sol (Low) CritPt24.9%
Artificial AnalysisGPT-6.1 Sol (Low) SciCode53.2%
Artificial AnalysisGPT-6.1 Sol (Low) Terminal-Bench 4.030.8%
Artificial AnalysisGPT-6.1 Sol (Low) AA-Omniscience Accuracy58.6%
Artificial AnalysisGPT-6.1 Sol (Low) AA-Omniscience Non-Hallucination Rate50.1%
Artificial AnalysisGPT-6.1 Sol (Max) Intelligence Index54,5
Artificial AnalysisGPT-6.1 Sol (Max) HLE52.9%
Artificial AnalysisGPT-6.1 Sol (Max) AA-LCR83.0%
Artificial AnalysisGPT-6.1 Sol (Max) GDPval-AA55.4%
Artificial AnalysisGPT-6.1 Sol (Max) CritPt31.7%
Artificial AnalysisGPT-6.1 Sol (Max) SciCode54.2%
Artificial AnalysisGPT-6.1 Sol (Max) Terminal-Bench 4.056.1%
Artificial AnalysisGPT-6.1 Sol (Max) AA-Omniscience Accuracy61.8%
Artificial AnalysisGPT-6.1 Sol (Max) AA-Omniscience Non-Hallucination Rate48.1%
Artificial AnalysisGPT-6.1 Sol (High) Intelligence Index50,2
Artificial AnalysisGPT-6.1 Sol (High) HLE51.4%
Artificial AnalysisGPT-6.1 Sol (High) AA-LCR82.3%
Artificial AnalysisGPT-6.1 Sol (High) GDPval-AA51.0%
Artificial AnalysisGPT-6.1 Sol (High) CritPt30.0%
Artificial AnalysisGPT-6.1 Sol (High) SciCode55.8%
Artificial AnalysisGPT-6.1 Sol (High) Terminal-Bench 4.051.5%
Artificial AnalysisGPT-6.1 Sol (High) AA-Omniscience Accuracy60.4%
Artificial AnalysisGPT-6.1 Sol (High) AA-Omniscience Non-Hallucination Rate51.0%
Design ArenaGPT-6.1 Sol Agents Arena Blender3d Elo1296
Design ArenaGPT-6.1 Sol Agents Arena Mobile Apps Elo1233
Design ArenaGPT-6.1 Sol Agents Arena Pdf Elo1128
Design ArenaGPT-6.1 Sol Agents Arena Spreadsheet Elo1294
Design ArenaGPT-6.1 Sol Agents Arena Webapps Elo1284
Design ArenaGPT-6.1 Sol Models Arena 3D Elo1437
Design ArenaGPT-6.1 Sol Models Arena Code Categories Elo1360
Design ArenaGPT-6.1 Sol Models Arena Data Visualization Elo1289
Design ArenaGPT-6.1 Sol Models Arena Game Development Elo1414
Design ArenaGPT-6.1 Sol Models Arena UI Component Elo1343
Design ArenaGPT-6.1 Sol Models Arena Website Elo1314
Vals AIGPT-6.1 Sol BioMysteryBench79.6%
Vals AIGPT-6.1 Sol ClaimBench100.0%
Vals AIGPT-6.1 Sol Code Migration v1.177.3%
Vals AIGPT-6.1 Sol CyberBench v1.139.3%
Vals AIGPT-6.1 Sol EMB v1.171.1%
Vals AIGPT-6.1 Sol Finance Agent v2.161.8%
Vals AIGPT-6.1 Sol Vals Finance Index55.8%
Vals AIGPT-6.1 Sol HLAB-Vals-1.16.3%
Vals AIGPT-6.1 Sol Immigration67.8%
Vals AIGPT-6.1 Sol IOI96.9%
Vals AIGPT-6.1 Sol Vals Legal Index68.7%
Vals AIGPT-6.1 Sol Legal Research Bench38.5%
Vals AIGPT-6.1 Sol MedCode48.8%
Vals AIGPT-6.1 Sol MedScribe86.5%
Vals AIGPT-6.1 Sol MysteryMechanism46.4%
Vals AIGPT-6.1 Sol ProgramBench3.0%
Vals AIGPT-6.1 Sol ProofBench v1.199.0%
Vals AIGPT-6.1 Sol Public Benefits Bench v1.159.3%
Vals AIGPT-6.1 Sol Robo-bench28.3%
Vals AIGPT-6.1 Sol Vals RSI Index26.6%
Vals AIGPT-6.1 Sol SAGE90.5%
Vals AIGPT-6.1 Sol Vals Science Index59.6%
Vals AIGPT-6.1 Sol SRE Bench50.8%
Vals AIGPT-6.1 Sol SWE-bench Multimodal43.5%
Vals AIGPT-6.1 Sol Tax Agent Bench21.8%
Vals AIGPT-6.1 Sol Terminal-Bench 4.055.1%
Vals AIGPT-6.1 Sol Terminal-Bench-Science52.9%
Vals AIGPT-6.1 Sol Vals Index63.9%
Vals AIGPT-6.1 Sol Vibe Code Bench v1.188.9%

Apps

Öffentliche Apps, die den meisten Datenverkehr an dieses Modell senden. Ein guter Anhaltspunkt dafür, wie echte Produktionsworkloads aussehen – und ein Hinweis darauf, für welche Anwendungsfälle dieses Modell am besten geeignet ist.

Aktivität

Token-Volumen und Anfrageaufkommen für dieses Modell im Zeitverlauf.

API

Direkt einsetzbarer Code zum Aufrufen dieses Modells. Die API von OpenRouter ist OpenAI-kompatibel – bei den meisten SDKs genügt es, die Basis-URL auszutauschen. Zwischen den Modellen ändert sich nur der unten stehende Modell-Slug.

OpenAI: GPT Sol-Versionen

Über regionales Routing innerhalb der EU verfügbar

OpenAI: GPT-6.1 Sol ist über regionsinternes EU-Routing verfügbar. An eu.openrouter.ai gesendete Anfragen werden in der EU entschlüsselt und ausschließlich an gemeinsam genutzte Anbieter-Endpunkte in Europa (EU/EWR, Vereinigtes Königreich und Schweiz) weitergeleitet.

Anbieter in Europa
Azure
Preise in Europa
  • Azure: 2,20 $/M tokens Eingabe, 11 $/M tokens Ausgabe
Basis-URL
https://eu.openrouter.ai/api/v1
Tarif
Erfordert Business oder Enterprise. Self-Service mit Business: kein Vertrag, kein monatlicher Mindestbetrag. OpenRouter Business für Routing innerhalb der EU

Im Fehlerfall gesperrt: Wenn kein gemeinsam genutzter Anbieter-Endpunkt in Europa verfügbar ist, schlägt die Anfrage fehl, statt die Region zu verlassen. Anfragen, die mit Ihrem eigenen BYOK-Schlüssel bedient werden, gehen an die Region Ihrer Bereitstellung, die Sie selbst kontrollieren. Dokumentation zum regionsinternen Routing

Weitere Modelle entdecken

KI-Modelle mit Bildverarbeitung: Multimodale LLMs für das BildverständnisSammlungKI-ModellranglistenRangliste
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Nicht beim Routing im Modus Standard verwendet:Warum diese Endpunkte nicht verwendet werden
Flex
1,00 $5,00 $0,05 $2,99s43 tps
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2,20 $11,00 $0,11 $3,08s43 tps
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4,00 $20,00 $0,20 $2,11s64 tps
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Ultrafast
12,00 $60,00 $0,60 $2,56s132 tps
100,00 %
Durchsatz
132Token/s

P50, bester Wert über alle Anbieter hinweg

Latenz
2,11s

P50, bester Anbieter

AutoExacto-Leistungsvergleiche
GPQA DiamondTAU-BenchAmazon Bedrock (US)94,8 %72,7 %Amazon Bedrock94,8 %68,7 %OpenAI94,4 %68,7 %
Verfügbarkeit (3 Tage)Das Modell war erreichbar. Die Anfrage wurde an einen Anbieter weitergeleitet.
100,00 %
Verfügbarkeit (3 Tage)Das Modell hat über einen beliebigen Anbieter ein Inferenzergebnis zurückgegeben. Fehler und leere Antworten wirken sich negativ darauf aus.
99,90 %

Verfügbarkeit in den letzten 3 Tagen

Letzte 72 Stunden
Verfügbarkeit 99,90 %
Vor 3 TagenVor 2 TagenGesternJetzt

Verfügbarkeit in den letzten 24 Stunden

OpenRouter Availability
99,89 %
Without Routing
99,49 %

Wenn bei einem vorgelagerten Anbieter ein Fehler auftritt, können wir diesen durch die Weiterleitung an einen anderen funktionsfähigen Anbieter beheben, sofern Ihre Anfragefilter dies zulassen. Sie können programmgesteuert auf die Verfügbarkeitsdaten pro Anbieter zugreifen, und zwar über die Endpunkt-API. Erfahren Sie mehr über unsere Optionen für Lastverteilung und Anbieter-Routing.

1.
Favicon für https://openai.com/codex
Codex
A coding agent that helps you build and ship with AI
2,81TToken
2.
Favicon für https://nousresearch.com
Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
466BToken
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306BToken
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omp
neu
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Claude Code
Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.
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Häufig gestellte Fragen

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost.

GPT-6.1 Sol kostet 2,00 $/M Eingabe-Token und 10,00 $/M Ausgabe-Token, mit separaten Tarifen für Cache Read für 0,10 $/M tokens und Cache Write für 2,50 $/M tokens.

GPT-6.1 Sol hat ein Kontextfenster von 1.050.000 Token. Es unterstützt bis zu 128.000 Completion-Token.

Ja. GPT-6.1 Sol akzeptiert tools und tool_choice für Funktionsaufrufe. Es unterstützt auch strukturierte Ausgaben über ein JSON-Schema in response_format.

Ja. OpenAI speichert Prompts mit 1024 Token oder mehr automatisch im Cache, und GPT-6.1 Sol berechnet für jeden zwischengespeicherten Prompt einen Cache-Schreibvorgang, unabhängig davon, ob das zwischengespeicherte Präfix erneut gelesen wird. Um die Zwischenspeicherung für eine Anfrage zu deaktivieren, setzen Sie prompt_cache_options.mode auf "explicit" auf der obersten Ebene der Anfrage und markieren Sie keinen Inhaltsblock mit prompt_cache_breakpoint. Der explizite Modus deaktiviert von OpenAI verwaltete Haltepunkte, sodass eine Anfrage ohne eigene Haltepunkte kein zwischenspeicherbares Präfix hat und zum regulären Eingabepreis abgerechnet wird. Weitere Informationen finden Sie im Leitfaden zur Prompt-Zwischenspeicherung.

GPT-6.1 Sol akzeptiert Dateien wie PDFs, Bilder und Text als Eingabe und gibt Text zurück.

GPT-6.1 Sol wird auf OpenRouter von 3 Anbietern bereitgestellt: OpenAI, Amazon Bedrock und Azure. Anfragen werden an den besten verfügbaren Anbieter weitergeleitet, bei Ausfällen wird automatisch zu den anderen gewechselt, und Sie können Anbieter über das Anbieter-Routing festlegen oder ausschließen.

GPT-6.1 Sol wurde am 29. September 2026 veröffentlicht.

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GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

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GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

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GPT-6 Luna Decisions

GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 200 questions about the same content.

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GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

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Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

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GPT-6 Luna Pro (batch)

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GPT-6 Sol Pro

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Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

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GPT-6 Sol Pro (batch)

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Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

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GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

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GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

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GPT Terra Latest

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